TY - JOUR
T1 - νSpaceSim
T2 - 38th International Cosmic Ray Conference, ICRC 2023
AU - νSpaceSim Collaboration
AU - Krizmanic, John F.
AU - Krizmanic, John
AU - Akaike, Yosui
AU - Anchordoqui, Luis
AU - Bergman, Douglas
AU - Buckland, Isaac
AU - Caraca-Valente, Jorge
AU - Cummings, Austin
AU - Eser, Johannes
AU - Garcia, Fred Angelo Batan
AU - Garg, Diksha
AU - Guépin, Claire
AU - Heibges, Tobias
AU - Ludwig, Andrew
AU - Mackovjak, Simon
AU - Mayotte, Eric
AU - Mayotte, Sonja
AU - Olinto, Angela
AU - Paul, Thomas
AU - Reustle, Alex
AU - Romero-Wolf, Andrew
AU - Reno, Mary Hall
AU - Sarazin, Fred
AU - Venters, Tonia
AU - Wiencke, Lawrence
AU - Wissel, Stephanie
N1 - Publisher Copyright:
© Copyright owned by the author(s) under the terms of the Creative Commons.
PY - 2024/9/27
Y1 - 2024/9/27
N2 - νSpaceSim is a comprehensive end-to-end simulation package created to facilitate the design of space-based and suborbital cosmic neutrino experiments that use the Earth as a neutrino converter as well as to understand the data obtained from current experiments. νSpaceSim models all aspects of the processes that lead to the neutrino-induced extensive air shower (EAS) signals: the modeling of neutrino interactions inside the Earth, propagating the leptons through the Earth into the atmosphere, modeling the tau-lepton decays, forming composite EAS, generating the air optical Cherenkov and radio signals, modeling their propagation and attenuation through the atmosphere. Finally, the response of optical and radio detectors is modeled. νSpaceSim uses a vectorized Python implementation to efficiently simulate neutrino-induced and background signals at a specific orbit or balloon altitude based on user xml input. The development has been focused on modeling the upward-moving EASs generated from Earth-emergent leptons sourced by neutrino interactions within the Earth, for both diffuse and transient sources accounting for the user-defined acceptance of an instrument. The tau-lepton channel is implemented using the modeling packages nuPyProp and nuLeptonSim. A MERRA-2 database driven application is used to generate cloud maps. Ionosphere dispersion of the radio signals is also modeled. In this paper, the νSpaceSim software, physics modeling, and the cosmic neutrino measurement capabilities of example experimental configurations will be presented.
AB - νSpaceSim is a comprehensive end-to-end simulation package created to facilitate the design of space-based and suborbital cosmic neutrino experiments that use the Earth as a neutrino converter as well as to understand the data obtained from current experiments. νSpaceSim models all aspects of the processes that lead to the neutrino-induced extensive air shower (EAS) signals: the modeling of neutrino interactions inside the Earth, propagating the leptons through the Earth into the atmosphere, modeling the tau-lepton decays, forming composite EAS, generating the air optical Cherenkov and radio signals, modeling their propagation and attenuation through the atmosphere. Finally, the response of optical and radio detectors is modeled. νSpaceSim uses a vectorized Python implementation to efficiently simulate neutrino-induced and background signals at a specific orbit or balloon altitude based on user xml input. The development has been focused on modeling the upward-moving EASs generated from Earth-emergent leptons sourced by neutrino interactions within the Earth, for both diffuse and transient sources accounting for the user-defined acceptance of an instrument. The tau-lepton channel is implemented using the modeling packages nuPyProp and nuLeptonSim. A MERRA-2 database driven application is used to generate cloud maps. Ionosphere dispersion of the radio signals is also modeled. In this paper, the νSpaceSim software, physics modeling, and the cosmic neutrino measurement capabilities of example experimental configurations will be presented.
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M3 - Conference article
AN - SCOPUS:85176468119
SN - 1824-8039
VL - 444
JO - Proceedings of Science
JF - Proceedings of Science
M1 - 1110
Y2 - 26 July 2023 through 3 August 2023
ER -